Literature DB >> 20398992

Non-invasive continuous cerebral temperature monitoring in patients treated with mild therapeutic hypothermia: an observational pilot study.

Andrea Zeiner1, Jasper Klewer, Fritz Sterz, Moritz Haugk, Danica Krizanac, Christoph Testori, Heidrun Losert, Shervin Ayati, Michael Holzer.   

Abstract

AIM OF THE STUDY: To investigate if body temperature as measured with a prototype of a non-invasive continuous cerebral temperature sensor using the zero-heat-flow method to reflect the oesophageal temperature (core temperature) during mild therapeutic hypothermia after cardiac arrest.
METHODS: In patients over 18 years old with restoration of spontaneous circulation after cardiac arrest, a temperature sensor that uses the zero-heat-flow principle was placed on the forehead during the periods of cooling and re-warming. This temperature was compared to oesophageal temperature as the primary temperature-monitoring site. To assess agreement, we used the Bland-Altman approach and Lin's concordance correlation coefficient.
RESULTS: From September 2008 to April 2009, data from 19 patients were analysed. The median time from restoration of spontaneous circulation until temperature sensor application was 53min (interquartile range, 31; 96). All sensors were removed when a core temperature of 36 degrees C was reached. These measurements were in agreement with oesophageal temperature measurements. No allergic reaction, rash or other irritation occurred on the skin around or under the probes. Bland-Altman results showed a bias of -0.12 degrees C and 95% limits of agreement of -0.59 and +0.36 degrees C. Lin's concordance correlation coefficient was 0.98.
CONCLUSIONS: Body temperature measurements using a non-invasive continuous cerebral temperature sensor prototype that uses the zero-heat-flow method accurately reflected oesophageal temperature measurements during mild therapeutic hypothermia in patients with restoration of spontaneous circulation after cardiac arrest.

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Year:  2010        PMID: 20398992     DOI: 10.1016/j.resuscitation.2010.03.018

Source DB:  PubMed          Journal:  Resuscitation        ISSN: 0300-9572            Impact factor:   5.262


  9 in total

1.  Prediction of human core body temperature using non-invasive measurement methods.

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2.  Relationship between core temperature, skin temperature, and heat flux during exercise in heat.

Authors:  Xiaojiang Xu; Anthony J Karis; Mark J Buller; William R Santee
Journal:  Eur J Appl Physiol       Date:  2013-06-18       Impact factor: 3.078

Review 3.  The Implementation of Targeted Temperature Management: An Evidence-Based Guideline from the Neurocritical Care Society.

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4.  Theoretical and Experimental Studies of Epidermal Heat Flux Sensors for Measurements of Core Body Temperature.

Authors:  Yihui Zhang; Richard Chad Webb; Hongying Luo; Yeguang Xue; Jonas Kurniawan; Nam Heon Cho; Siddharth Krishnan; Yuhang Li; Yonggang Huang; John A Rogers
Journal:  Adv Healthc Mater       Date:  2015-05-07       Impact factor: 9.933

Review 5.  Critical care management of severe traumatic brain injury in adults.

Authors:  Samir H Haddad; Yaseen M Arabi
Journal:  Scand J Trauma Resusc Emerg Med       Date:  2012-02-03       Impact factor: 2.953

6.  Is Esophageal Temperature Better to Estimate Brain Temperature during Target Temperature Management in a Porcine Model of Cardiopulmonary Resuscitation?

Authors:  Heng Li; Zhengfei Yang; Yuanshan Liu; Zhixin Wu; Weibiao Pan; Shaohong Li; Qin Ling; Wanchun Tang
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7.  Investigation of the Impact of Infrared Sensors on Core Body Temperature Monitoring by Comparing Measurement Sites.

Authors:  Hsuan-Yu Chen; Andrew Chen; Chiachung Chen
Journal:  Sensors (Basel)       Date:  2020-05-19       Impact factor: 3.576

8.  Low Ambient Temperature Exposition Impairs the Accuracy of a Non-invasive Heat-Flux Thermometer.

Authors:  Michela Masè; Andreas Werner; Gabriel Putzer; Giovanni Avancini; Marika Falla; Hermann Brugger; Alessandro Micarelli; Giacomo Strapazzon
Journal:  Front Physiol       Date:  2022-03-04       Impact factor: 4.566

9.  A Smart Pillow for Health Sensing System Based on Temperature and Humidity Sensors.

Authors:  Songsheng Li; Christopher Chiu
Journal:  Sensors (Basel)       Date:  2018-10-29       Impact factor: 3.576

  9 in total

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